Sales Operations Data Analyst
2 weeks ago
Skill Set (Mandatory):
- Strong in SQL
- Very good experience with Tableau
- Should be able to write python code to handle data manipulations/transformations for e.g., Data Frames, Python libraries (Panda, NumPy)
- Having sales operations experience is preferred. (Salesforce CRM preferred)
Job Profile:
What you will do:
Performance Analysis & Reporting: Design, develop, and maintain robust dashboards, reports, and analytical models to track key sales metrics, identify trends, and provide deep insights into sales performance across various segments (e.g., merchant acquisition, retention, growth, regional performance).
Strategic Insights & Recommendations: Proactively identify opportunities for sales process improvements, efficiency gains, and revenue growth by analysing sales data, market trends, and operational workflows. Present clear, concise, and actionable recommendations to sales leadership.
Forecasting & Planning Support: Contribute to sales forecasting, capacity planning, and target setting processes by leveraging historical data, statistical models, and market intelligence to provide accurate projections.
Data Infrastructure & Tools: Collaborate with data engineering and business intelligence teams to ensure data integrity, accessibility, and the development of scalable data solutions. Utilize SQL, Python, and advanced visualization tools (e.g., Tableau, Power BI) to extract, transform, and present data.
Sales Optimization: Analyse sales funnel performance, conversion rates, and sales cycle efficiency to pinpoint bottlenecks and recommend solutions that streamline operations and enhance productivity.
Ad-Hoc Analysis: Conduct deep-dive analyses on specific business questions or challenges, providing timely and accurate data-driven answers to support urgent strategic decisions.
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